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health data e.g., electronic health records, and/or satellite-derived data analysis products and GIS data as well as experience in medical large language models and foundation models e.g., through
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and execution of the project and its data collection, with specific responsibilities to take the lead on data processing, statistical analysis (including geospatial statistics), and GIS-based mapping
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for gastrointestinal (GI) cancers. Working within the O’Neill lab, you will play a central role in the collection, processing, maintenance, and characterisation of tumour and blood samples using a perfused culture
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coordination, or managing archaeological, photographic, or GIS datasets will be an advantage. The role offers the chance to contribute to meaningful research and creative outreach, and fluency in English with
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economic modelling, ecological and environmental assessment, or GIS. You should also be skilled in data handling and programming, and your ability to write and communicate clearly enables you to engage